code: def data_gen_for_qa():
      # generating data for question answering
      # no need for labels and use start and end position instead
      data = data_gen()
      start_positions = torch.tensor([0], dtype=torch.int64)
      data["start_positions"] = start_positions
      end_positions = torch.tensor([1], dtype=torch.int64)
      data["end_positions"] = end_positions
      return data
  
file_path: ColossalAI/tests/kit/model_zoo/transformers/bert.py
imports: import torch
  import transformers
  from ..registry import ModelAttribute, model_zoo
label_desc: Use image node_id 7 for calling a global function with example usage: data_gen_for_qa() and returns: data